{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "640df5bd-e110-46a1-ae32-aeb85fefe88b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-14T12:10:41.643896Z",
     "iopub.status.busy": "2022-06-14T12:10:41.643476Z",
     "iopub.status.idle": "2022-06-14T12:10:43.011073Z",
     "shell.execute_reply": "2022-06-14T12:10:43.010420Z",
     "shell.execute_reply.started": "2022-06-14T12:10:41.643869Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from matplotlib import font_manager"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d52f6545-b197-420a-81b2-228b11d990a5",
   "metadata": {},
   "source": [
    "```python\n",
    "plt.barh(data, height, width, bottom, align, color)\n",
    "```\n",
    "\n",
    "* ydata: 对应y轴上的坐标，可以为列表/列表/字符串\n",
    "* width(xdata): 对应x轴上的坐标，可以为列表/列表/字符串\n",
    "* data是DataFrame对象，如果传递了data对象，则xdata和ydata可以为data中的列名\n",
    "* height: 柱面的宽度\n",
    "* bottom: x轴的基面开始数，默认从x=0开始\n",
    "* align: 柱体的排列方式\n",
    "* color: 柱面填充颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "de4867f0-cb57-417b-8992-e6a710caa02e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-14T12:11:03.532277Z",
     "iopub.status.busy": "2022-06-14T12:11:03.530585Z",
     "iopub.status.idle": "2022-06-14T12:11:03.536274Z",
     "shell.execute_reply": "2022-06-14T12:11:03.535522Z",
     "shell.execute_reply.started": "2022-06-14T12:11:03.532242Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 创建字体管理对象，指向具体的字体文件\n",
    "font = font_manager.FontProperties(\n",
    "    fname=\"/System/Library/Fonts/STHeiti Light.ttc\", size=14, weight=4\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ea49fb8e-174b-4823-8f60-1d4bf761a577",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-14T12:10:14.018832Z",
     "iopub.status.busy": "2022-06-14T12:10:14.018388Z",
     "iopub.status.idle": "2022-06-14T12:10:14.027729Z",
     "shell.execute_reply": "2022-06-14T12:10:14.026826Z",
     "shell.execute_reply.started": "2022-06-14T12:10:14.018763Z"
    }
   },
   "outputs": [],
   "source": [
    "# 创建实验数据\n",
    "movies = {\n",
    "    \"长津湖之水门桥\":40.62,\n",
    "    \"这个杀手不太冷静\":26.23,\n",
    "    \"奇迹.笨小孩\":13.77,\n",
    "    \"穿过寒冬拥抱你\":6.65,\n",
    "    \"狙击手\":6.01,\n",
    "    \"四海\":5.42,\n",
    "    \"误杀2\":2.82\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d6dcd4b2-450c-4c9b-a526-a16e66eecac4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-14T12:17:19.688063Z",
     "iopub.status.busy": "2022-06-14T12:17:19.687498Z",
     "iopub.status.idle": "2022-06-14T12:17:19.810512Z",
     "shell.execute_reply": "2022-06-14T12:17:19.809687Z",
     "shell.execute_reply.started": "2022-06-14T12:17:19.688036Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 400x640 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 提取ydata \n",
    "yData = list(movies.keys())\n",
    "# 提取xdata \n",
    "xData = list(movies.values())\n",
    "# 设置画板\n",
    "plt.figure(figsize=(5,8), dpi=80)\n",
    "# 设置绘图数据\n",
    "plt.barh(yData,xData, height=0.3, color=\"r\")\n",
    "# 设置y轴刻度\n",
    "plt.yticks(font_properties=font)\n",
    "# 设置x轴刻度\n",
    "plt.xticks(np.arange(0,45,5), [\"%d亿\"%x for x in np.arange(0,45,5)], font_properties=font)\n",
    "# 绘图\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
